A5038457105- Arctic and Antarctic ice dynamics
- Methane Hydrates and Related Phenomena
- Cryospheric studies and observations
- Climate change and permafrost
- Climate variability and models
- Oceanographic and Atmospheric Processes
- Marine and environmental studies
- Marine and Coastal Research
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Soil Moisture and Remote Sensing
- Atmospheric and Environmental Gas Dynamics
Danish Meteorological Institute
2014-2024
University of Copenhagen
2006
Geocenter Denmark
2006
With a growing number of different satellite sensors, data fusion offers great potential in many applications. In this work, convolutional neural network (CNN) architecture is presented for fusing Sentinel-1 synthetic aperture radar (SAR) imagery and the Advanced Microwave Scanning Radiometer 2 (AMSR2) data. The CNN applied to prediction Arctic sea ice marine navigation as input forecast models. This generic model specifically well suited sources where ground resolutions sensors differ with...
Automatically producing Arctic sea ice charts from Sentinel-1 synthetic aperture radar (SAR) images is challenging for convolutional neural networks (CNNs) due to ambiguous backscattering signatures. The number of pixels viewed by the CNN model in input image used generate an output pixel, or receptive field, important detect large features physical objects such as and correctly classify them. In addition, a noise phenomenon present ESA Instrument Processing Facility (IPF) v2.9 SAR data,...
Sea ice information has traditionally been associated with Manual Ice Charts, however the demand for accurate forecasts is increasing. This study presents an improved operational forecast system Arctic sea focusing on Greenlandic waters. In addition, we present different observational products and conduct inter-comparisons. First, a re-analysis forced by ERA5 from 2000 to 2021 evaluated ensure that stable over time provide statistics users. The output similar initial conditions forecast....
The AutoICE Competition, launched on ESA’s AI4EO platform, brings together AI and Earth Observation practitioners to address the challenge of “automated sea ice mapping” from Sentinel-1 SAR data. Traversing polar waters safely efficiently requires up-to-date maps constantly moving changing conditions showing current extent, local concentration, auxiliary descriptions conditions. For several decades, charts have been manually produced by visually inspecting...
Abstract. Mapping sea ice in the Arctic is essential for maritime navigation, and growing vessel traffic highlights necessity of timeliness accuracy charts. In addition, with increased availability satellite imagery, automation becoming more important. The AutoICE Challenge investigates possibility creating deep learning models capable mapping multiple parameters automatically from spaceborne synthetic aperture radar (SAR) imagery assesses current state automatic-sea-ice-mapping scientific...
We propose an unsupervised method for iceberg detection over sea ice-free waters. The algorithm is based on the segmentation and nonparametric constant false alarm rate (SnP-CFAR) approach. Unlike in parametric CFAR detection, our method, there no need to define target, guard, background areas explicitly. Instead, we apply pixels within each detected segment formed of nearby not included target segment. By using probability density function (PDF) estimates, also eliminate assuming a specific...
Abstract. Arctic sea ice monitoring is a fundamental prerequisite for anticipating and mitigating the impacts of climate change. Satellite-based observations have been subject to intense attention over last few decades, with passive microwave (PMW) radiometers being primary sensors retrieving pan-Arctic concentration, albeit coarse spatial resolutions or even tens kilometers. Space-borne Synthetic Aperture Radar (SAR) missions, such as Sentinel-1, provide dual-polarized C-band images <100...
Abstract. Arctic sea ice monitoring is a fundamental prerequisite for anticipating and mitigating the impacts of climate change. Satellite-based observations have been subject to intense attention over last few decades, with passive microwave (PMW) radiometers being primary sensors retrieving pan-Arctic concentration, albeit coarse spatial resolutions or even tens kilometers. Spaceborne synthetic aperture radar (SAR) missions, such as Sentinel-1, provide dual-polarized C-band images < 100...
Abstract A field investigation of iceberg drift pattern and speed was conducted in September 2011 Baffin Bay, northwest Greenland. Ten icebergs were equipped with GPS transponders during a campaign. Above-waterline dimensions (length, width height) the measured using GPS/pressure altimeter geometrically rectified digital photographs taken Iceberg lengths, masses drafts ranged from 95 to 450 m, 330 000 17 t 70 260 respectively. The patterns speeds determined on basis positions logged...
This study focuses on the distribution of icebergs within waters around Greenland. Synthetic Aperture Radar (SAR) satellite imagery was used for iceberg (target) detection to generate a statistical picture spatial - aiming cover entire Greenland Waters. A target algorithm based Constant False Alarm Rate (CFAR) techniques developed and applied successfully more than 8,000 SAR scenes over open water (sea-ice-free) areas. Sea-ice-masks passive microwave radiometer data were exclude regions with...
Abstract. Mapping sea ice in the Arctic is essential for maritime navigation, and growing vessel traffic highlights necessity of timeliness accuracy charts. In addition, with increased availability satellite imagery, automation becoming more important. The aim AutoICE Challenge was to encourage creation models capable mapping automatically from spaceborne Synthetic Aperture Radar (SAR) imagery using deep learning while inspiring participants move towards multiple parameter model retrieval...
The Arctic&#8217;s unprecedented transformation due to anthropogenic warming necessitates close monitoring of sea ice understand and address climate change impacts. As the retreats becomes thinner, increased human activity in region emphasizes urgent need for detailed, near real-time information as well improved forecasts maritime safety planning.Current methods Arctic retrieval relies on passive microwave (PMW) sensors, which offer global coverage but struggle capture fine-scale...
Sea ice information for the near coastal areas of Greenlandic waters is high importance forthe local communities and maritime industry. The &#8220;truth&#8221; within sea hastraditionally been associated with Manual Ice Charts; however, demand accurate forecastsis increasing.At first, this study will introduce a variety satellite-based Copernicus marine service productswaters special focus on novel automated chart that runs daily basis at DanishMeteorological Institute (DMI). new...